Description

Key Technical Requirements

Must-Have Skills

  • Object-Oriented Programming (OOP):
    • Strong understanding of classes, objects, and core OOP principles.
    • Experience working in large, shared codebases.
  • CICD Pipelines:
    • Experience working with solid code pipelines.
    • Comfort with deploying containerized code is helpful but not essential.
  • Cloud Experience:
    • General familiarity with cloud infrastructure.
    • Candidates with exclusively on-prem backgrounds may struggle.

 

Nice-to-Have / Bonus Skills

  • Languages & Tools:
    • Python (can be light if candidate has strong Java background).
    • Terraform, Databricks (considered “gravy,” not core).
    • Splunk, AWS CloudWatch.
  • ML Experience:
    • Core ML pipeline and model serving experience is a plus but not required.

 

Team & Culture Fit

  • Learning & Growth:
    • The hiring manager is ready and willing to teach.
    • Ideal for developers curious to expand into DevOps/MLOps.
  • Collaboration:
    • Must be comfortable with live coding during interviews (e.g., screen sharing via Teams).
    • Strong communication and willingness to collaborate are key.

 

Ideal Candidate Profile

  • Software engineer with solid OOP fundamentals.
  • Experience in CICD and cloud environments.
  • Curious and motivated to grow into DevOps/MLOps.
  • Comfortable with live coding and collaborative problem-solving

Key Skills
Education

Any Gradute

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